126 to 150 of 880 Databricks Jobs

DOE About The Role Ecotricity, the UK’s first true green energy provider, has a strong internal team supporting and developing solutions across multiple mission critical platforms including Databricks on AWS, SQL, Power BI and other cloud centric data solutions. This technical hands-on role, of Data Engineer, will contribute to our delivery of projects, BAU, and helping Ecotricity become … the group/project. We have a training programme in place to further advance your skills. Dedicated time for training is planned in our workloads. Training and certifications in Databricks are paid for by the company. We’re proud to be an ethical company, and this naturally attracts ethical people, making for a good safe working environment and a team … should strive for best practice and technical excellence and be a person that actively looks for continual improvement opportunities. Knowledge and skills Experience as a Data Engineer or Analyst Databricks/Apache Spark SQL/Python BitBucket/GitHub. Advantageous dbt AWS Azure Devops Terraform Atlassian (Jira, Confluence) About Us What's in it for you... Healthcare plan, life assurance More ❯

this is a senior role and not suitable for junior candidates ). Azure Expertise: Deep hands-on knowledge of Azure data and AI services - including Azure Machine Learning, Azure Databricks, Azure Data Lake/Synapse, Azure Cognitive Services (Text, Vision, Speech), Azure OpenAI and Azure AI Foundry. Ability to architect solutions that leverage these services cohesively. Architectural Skills: Strong skills … expertise in Azure and AI. Examples include Microsoft Certified: Azure Solutions Architect Expert and Azure AI Engineer Associate (AI-102). Certification in machine learning frameworks or platforms (e.g. Databricks Certified Generative AI Engineer Associate ) is also valued. Devoteam supports continuous learning and certification attainment. Team You will be part of a collaborative, remote-friendly team that values continuous learning More ❯

this is a senior role and not suitable for junior candidates ). Azure Expertise: Deep hands-on knowledge of Azure data and AI services - including Azure Machine Learning, Azure Databricks, Azure Data Lake/Synapse, Azure Cognitive Services (Text, Vision, Speech), Azure OpenAI and Azure AI Foundry. Ability to architect solutions that leverage these services cohesively. Architectural Skills: Strong skills … expertise in Azure and AI. Examples include Microsoft Certified: Azure Solutions Architect Expert and Azure AI Engineer Associate (AI-102). Certification in machine learning frameworks or platforms (e.g. Databricks Certified Generative AI Engineer Associate ) is also valued. Devoteam supports continuous learning and certification attainment. Team You will be part of a collaborative, remote-friendly team that values continuous learning More ❯

this is a senior role and not suitable for junior candidates ). Azure Expertise: Deep hands-on knowledge of Azure data and AI services - including Azure Machine Learning, Azure Databricks, Azure Data Lake/Synapse, Azure Cognitive Services (Text, Vision, Speech), Azure OpenAI and Azure AI Foundry. Ability to architect solutions that leverage these services cohesively. Architectural Skills: Strong skills … expertise in Azure and AI. Examples include Microsoft Certified: Azure Solutions Architect Expert and Azure AI Engineer Associate (AI-102). Certification in machine learning frameworks or platforms (e.g. Databricks Certified Generative AI Engineer Associate ) is also valued. Devoteam supports continuous learning and certification attainment. Team You will be part of a collaborative, remote-friendly team that values continuous learning More ❯

Looking For: Strong skills in SQL and Power BI. Python is beneficial Solid experience with data modelling and ETL pipelines Knowledge of cloud environments – Azure Experience with Snowflake and Databricks Familiarity with data governance in decentralised environments Excellent communication and stakeholder engagement skills A proactive, problem-solving approach Interested? Apply with your latest CV to find out more. More ❯

managing teams & cross-functional data projects. Proven experience in data engineering, analytics, or data architecture, with experience leading & mentoring others. Strong understanding of Microsoft Azure (Data Lakes, Blob Storage), Databricks, and modern data stack tooling. Proficiency in SQL and Python for data manipulation and transformation. Familiarity with data visualisation tools such as power BI. Strong interpersonal and leadership skills - able More ❯

architecture principles in a Data & Analytics context Azure architecture, infrastructure services and networking Experience with Azure Analytical components and databases like Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric, Databricks, Power BI, SQL Server, Familiar with concepts and components such as VPNs, Private Endpoints, Virtual networks, Firewall, multi-region network, Aware of best-practices in data modeling, data warehousing, data More ❯

engineering and the application of data management design, such as Data Lakes and Data Warehouses. Some experience with cloud-based data and analytics technologies, including Azure Data Factory and DataBricks, would be beneficial but not essential Good knowledge of software engineering and architecture principles, including expert knowledge of the Software Development Life Cycle (SDLC). About Royal London We’re More ❯

engineering and the application of data management design, such as Data Lakes and Data Warehouses. Some experience with cloud-based data and analytics technologies, including Azure Data Factory and DataBricks, would be beneficial but not essential Good knowledge of software engineering and architecture principles, including expert knowledge of the Software Development Life Cycle (SDLC). About Royal London We're More ❯

engineering and the application of data management design, such as Data Lakes and Data Warehouses. Some experience with cloud-based data and analytics technologies, including Azure Data Factory and DataBricks, would be beneficial but not essential Good knowledge of software engineering and architecture principles, including expert knowledge of the Software Development Life Cycle (SDLC). About Royal London We're More ❯

Engineering: model datawarehouses both batch and real-time with for example clickhouse and dbt or sqlmesh Business intelligence: build visuals that answer critical business questions in for example metabase, databricks or powerbi. ML/AI: use modern tools to predict or use llm's to facilitate the insights hidden in unstructured data. You are not responsible for single handedly building More ❯

new ideas or solutions Contribute to the development and maintenance of T&Ts documentation and processes Qualifications Skills required for this role are: Proven ability to work with with: Databricks Azure Data Factory Azure Data Lake Azure Synapse (and data warehousing approaches) or SSIS Azure Analysis Services Experience in programming languages such as: SQL Python Spark DAX A good understanding More ❯

. Oversee the development of dashboards, KPIs, and operational reports that support real-time and batch analytics across front-to-back processes. Ensure integration with enterprise data platforms (e.g. Databricks) and data warehouses. Monitor system performance, identify bottlenecks, and optimise data processing workflows for improved efficiency and scalability. Team Leadership & Governance Manage and mentor a team of BI developers, delivery More ❯

. Oversee the development of dashboards, KPIs, and operational reports that support real-time and batch analytics across front-to-back processes. Ensure integration with enterprise data platforms (e.g. Databricks) and data warehouses. Monitor system performance, identify bottlenecks, and optimise data processing workflows for improved efficiency and scalability. Team Leadership & Governance Manage and mentor a team of BI developers, delivery More ❯

. Oversee the development of dashboards, KPIs, and operational reports that support real-time and batch analytics across front-to-back processes. Ensure integration with enterprise data platforms (e.g. Databricks) and data warehouses. Monitor system performance, identify bottlenecks, and optimise data processing workflows for improved efficiency and scalability. Team Leadership & Governance Manage and mentor a team of BI developers, delivery More ❯

levels, to develop your data skill set. Experience & Skills Experience or exposure to modern data platform technology, ideally cloud based (Azure preferable). Demonstrable exposure to Azure Data Factory, Databricks, Azure Synapse, Power BI, SQL Server - not necessarily from a work environment. Demonstrable understanding of SQL; querying, Strong record of organisation, proactivity and diligence - ideally in a customer facing environment. More ❯

professionals, who are committed to making Homes England a Data-led organisation To deliver this you will have opportunities to learn and utilise tools and technologies such as Azure Databricks, Computer Vision and Azure Machine Learning alongside languages such as PySpark, Python, R and SQL As a Data Scientist you will also have opportunities to work alongside the engineering team More ❯

within complex, regulated environments Strong understanding of data governance frameworks, data architecture, and AI/ML lifecycle management Experience with cloud platforms (e.g. Azure, AWS), data engineering tools (e.g. Databricks, Snowflake, Foundry), and analytics platforms (e.g. Power BI, Tableau) Knowledge of relevant legislation and standards, including GDPR, ISO 27001, and ethical AI guidelines Proven ability to translate business needs into More ❯

The "Nice to Haves" : • Certification in dbt or Google Cloud Platform or related technologies. • Experience with other cloud platforms (egAWS, Azure, Snowflake) and data warehouse/lakehouse technologies (egRedshift, Databricks, Synapse) • Knowledge of distributed big data technologies. • Proficiency in Python. • Familiarity with data governance and compliance frameworks. Your characteristics as a Consultant will include: • Driven by delivering quality work, with More ❯

data engineering or a related field, with a focus on building scalable data systems and platforms. Expertise in modern data tools and frameworks such as Spark, dbt, Airflow, Kafka, Databricks, and cloud-native services (AWS, GCP, or Azure) Understanding of data modeling, distributed systems, ETL/ELT pipelines, and streaming architectures Proficiency in SQL and at least one programming language More ❯

Senior Data Architect/Strategic Data Architect/Data Solution Architect Rate: £600-£650 p/d IR35: Outside IR35 Time on site: 1 day a week on site in London ideally but very flexible for the right person, would More ❯

Senior Data Architect/Strategic Data Architect/Data Solution Architect Rate: £600-£650 p/d IR35: Outside IR35 Time on site: 1 day a week on site in London ideally but very flexible for the right person, would More ❯

Senior Support Data Engineer Contract: Full-time, Permanent Salary: Up to £60,000 + Benefits + Bonus Location: Remote (2 days per month in Nottingham) About the Role My client is on the lookout for a talented Senior Data Engineer More ❯

Data Engineer – Python | Databricks | PySpark Company: Fortune 500 Financial Services firm Location: Hybrid - London Type: Permanent Salary: £90k + 20% bonus + Exceptional Benefits Exclusively via DATAHEAD Are you a detail-oriented Python Developer who thrives in complex data environments? Do you have hands-on experience with Databricks , PySpark , and cloud-native data engineering? We’re hiring a Data Engineer … first, engineering-led environment where you’ll play a key role in developing high-quality, scalable data products. What You’ll Do: Build and maintain scalable Python applications using Databricks and PySpark Design and optimise robust data pipelines and processing frameworks Write clean, modular, and testable code aligned with SOLID principles Contribute to CI/CD pipelines , automated testing frameworks … Help shape the data architecture that underpins machine learning and AI models What You’ll Bring: Proven experience developing in Python for data-intensive applications Hands-on expertise with Databricks and PySpark Strong grasp of cloud data platforms and modern engineering practices Familiarity with CI/CD, version control (e.g. Git), and automated testing Ability to work effectively in cross More ❯

Data Engineer – Python | Databricks | PySpark Company: Fortune 500 Financial Services firm Location: Hybrid - London Type: Permanent Salary: £90k + 20% bonus + Exceptional Benefits Exclusively via DATAHEAD Are you a detail-oriented Python Developer who thrives in complex data environments? Do you have hands-on experience with Databricks , PySpark , and cloud-native data engineering? We’re hiring a Data Engineer … first, engineering-led environment where you’ll play a key role in developing high-quality, scalable data products. What You’ll Do: Build and maintain scalable Python applications using Databricks and PySpark Design and optimise robust data pipelines and processing frameworks Write clean, modular, and testable code aligned with SOLID principles Contribute to CI/CD pipelines , automated testing frameworks … Help shape the data architecture that underpins machine learning and AI models What You’ll Bring: Proven experience developing in Python for data-intensive applications Hands-on expertise with Databricks and PySpark Strong grasp of cloud data platforms and modern engineering practices Familiarity with CI/CD, version control (e.g. Git), and automated testing Ability to work effectively in cross More ❯